Katsuyoshi Sugimoto

1.3k citations
37 papers · 1.2k indexed · h-index 20
Topics
Cancer-related Molecular Pathways (11 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)Neuroscience and Neuropharmacology Research (5 papers)
Partner nations
JapanChinaUnited States

In The Last Decade

Katsuyoshi Sugimoto

37 papers receiving 1.1k citations

Peers

Katsuyoshi Sugimoto
Comparison fields: 5 of 96
  • Molecular Biology 661
  • Oncology 424
  • Cancer Research 130
  • Pharmacology 100
  • Cellular and Molecular Neuroscience 92
Replace Marie-Christine Bissery with:
Marie-Christine Bissery France
François X. Claret United States
Ingalill Avis United States
Leda Biordi Italy
C.J. Newton United Kingdom
Seiichi Ishizuka Japan
Abderrahmane Kaidi United Kingdom
Sandra Strychor United States
Petra Obexer Austria
Aruna Basu United States
Katsuyoshi Sugimoto relative to Marie-Christine Bissery France Marie-Christine Bissery's profile →
Citations per field
00.5×10.2×
Marie-Christine Bissery · 1×
Citations per year

Countries citing papers authored by Katsuyoshi Sugimoto

Since Specialization
Citations

This map shows the geographic impact of Katsuyoshi Sugimoto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Katsuyoshi Sugimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuyoshi Sugimoto more than expected).

Fields of papers citing papers by Katsuyoshi Sugimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katsuyoshi Sugimoto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Katsuyoshi Sugimoto. The network helps show where Katsuyoshi Sugimoto may publish in the future.

Co-authorship network of co-authors of Katsuyoshi Sugimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Katsuyoshi Sugimoto. A scholar is included among the top collaborators of Katsuyoshi Sugimoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katsuyoshi Sugimoto. Katsuyoshi Sugimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 7
3 7
4 100
5 27
6 16
7 17
8 11
9 54
10 39
11 87
12 72
13 20
14 41
15 13
16 27
17 15
18 4
19 24
20 50

About Katsuyoshi Sugimoto

Katsuyoshi Sugimoto is a scholar working on Oncology, Reproductive Medicine and Pharmacology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (11 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Oncology (424 citations), Pharmacology (100 citations) and Reproductive Medicine (88 citations). Katsuyoshi Sugimoto has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Masaaki Tokuda, Li Sui, Youyi Dong, Yasuo Watanabe, Yuji Tai, Masayuki Ohno, Tsukasa Uno, Fuminori Yamaguchi, Tomonori Tateishi and Hiroshi Yamazaki. Their work appears in journals such as Journal of Biological Chemistry, Cancer and Biochemical Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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